Run: 2026-02-20-01KHY8WVB3T3GV9TT5AY81WPGZ

Run Details

Duration:
4.3s
Cost:
$0.000273
Provider:
Mistral

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The rain hammered down in sheets, turning the pavement slick as Quinn’s boots splashed through puddles. She kept her shoulders squared, the weight of her jacket pulling tight against the downpour. The suspect’s scent—old leather, something metallic—lingered in the damp air, just ahead. A flicker of movement. A shadow darting between lampposts. Quinn’s pulse steadied. She didn’t slow. The alleyway ahead was narrow, the walls slick with grime and rain. The suspect vanished into the darkness, but she knew where they were headed. The Raven’s Nest. Or something worse. She turned left, her breath steady despite the cold. The streets of Soho blurred past, neon signs bleeding into the rain. A figure darted across the road, too fast to be human. Quinn’s hand twitched toward her sidearm, but the suspect was already gone, swallowed by the crowd. Then—footsteps. Heavy, deliberate. Quinn spun, gun raised, but it was just a drunk staggering past, muttering about the weather. She exhaled, the tension in her jaw easing just enough to let the cold bite deeper. The Raven’s Nest’s green neon sign pulsed like a dying heartbeat. The bar’s entrance was a maw of darkness, the door held open by a man in a long coat. Quinn hesitated. The air inside smelled of stale beer and something older—something that didn’t belong in this world. She pushed through. The bar was dim, the kind of dim that made shadows stretch like hungry things. The walls were lined with maps, yellowed and cracked, their edges frayed. A few patrons sat in the corner, their faces half-lit by the flickering glow of a single bulb. No one looked at her. No one spoke. Quinn scanned the room. No suspect. No sign of the man she’d been chasing. Then—a whisper. A voice from the back. *"You’re late."* She turned. A man stood in the shadows, his face half-hidden by the brim of his hat. His coat was too long, his movements too smooth. He didn’t move toward her. He didn’t need to. *"Detective Quinn,"* he said, his voice smooth as oil. *"I was wondering when you’d show up."* She didn’t lower her gun. *"Where is he?"* The man tilted his head, just slightly. *"Who?"* *"The man I was chasing."* A slow smile spread across his face. *"Oh. That one."* He gestured behind her. Quinn didn’t turn. She knew what she’d find. The back room. The hidden door behind the bookshelf. The one that led somewhere she shouldn’t go. She exhaled, her breath fogging in the cold air. The suspect was gone. But the man standing in front of her wasn’t. *"You’re not here for him,"* the man said. *"You’re here for us."* Quinn’s grip tightened on her gun. *"What do you want?"* *"Information."* His voice was calm, almost amused. *"About the Veil Market."* She froze. The name hung in the air between them, heavy as a threat. *"You know about it,"* she said. *"I know more than you think."* He stepped closer, his coat brushing against the wall. *"And you’re about to find out just how much."* Quinn’s finger twitched on the trigger. She could shoot. She could run. But she knew, deep down, that neither would end this. The man smiled again. *"Or you could come with me."* She didn’t answer. She didn’t move. The rain still fell outside. The bar still hummed with its own kind of life. And somewhere beneath the city, the Veil Market waited.
created_at"2026-02-20T19:37:14.863Z" 2/20/2026, 7:37:14 PM
model"mistralai/ministral-8b-2512"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency242
moderation_latency(null)
generation_time3522
tokens_prompt1140
tokens_completion896
native_tokens_prompt1027
native_tokens_completion792
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached256
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00027285
router(null)
provider_responses
0
endpoint_id"c85d26e1-1e0c-449b-9775-2afce7ae510b"
id"b12f1fe36af94438ac56d7dcd6f8e4b2"
is_byokfalse
latency242
model_permaslug"mistralai/ministral-8b-2512"
provider_name"Mistral"
status200
api_type"completions"
id"gen-1771616234-377OrCTplKjoqmAaTsV6"
upstream_id"b12f1fe36af94438ac56d7dcd6f8e4b2"
total_cost0.00027285
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.313
leniency0.625
rawRatio0
effectiveRatio0
91.35% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount578
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
22.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount578
totalAiIsms9
found
0
word"weight"
count1
1
word"flicker"
count1
2
word"pulse"
count1
3
word"footsteps"
count1
4
word"tension"
count1
5
word"pulsed"
count1
6
word"maw"
count1
7
word"scanned"
count1
8
word"whisper"
count1
highlights
0"weight"
1"flicker"
2"pulse"
3"footsteps"
4"tension"
5"pulsed"
6"maw"
7"scanned"
8"whisper"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences69
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
0.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans16
markdownWords66
totalWords571
ratio0.116
matches
0"\"You’re late.\""
1"\"Detective Quinn,\""
2"\"I was wondering when you’d show up.\""
3"\"Where is he?\""
4"\"Who?\""
5"\"The man I was chasing.\""
6"\"Oh. That one.\""
7"\"You’re not here for him,\""
8"\"You’re here for us.\""
9"\"What do you want?\""
10"\"Information.\""
11"\"About the Veil Market.\""
12"\"You know about it,\""
13"\"I know more than you think.\""
14"\"And you’re about to find out just how much.\""
15"\"Or you could come with me.\""
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
60.89% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount505
uniqueNames6
maxNameDensity1.78
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn9
Raven2
Nest2
Soho1
Veil1
Market1
persons
0"Quinn"
1"Raven"
2"Nest"
3"Market"
places
0"Soho"
globalScore0.609
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount571
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean19.03
std15.17
cv0.797
sampleLengths
043
146
248
335
448
53
653
714
87
92
102
1133
1216
138
148
155
1614
178
1817
1922
2012
2110
2211
2314
246
2524
2622
2710
286
2924
90.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences69
matches
0"were headed"
1"were lined"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs93
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences79
ratio0.051
matches
0"The suspect’s scent—old leather, something metallic—lingered in the damp air, just ahead."
1"Then—footsteps."
2"The air inside smelled of stale beer and something older—something that didn’t belong in this world."
3"Then—a whisper."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount512
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03515625
lyAdverbCount1
lyAdverbRatio0.001953125
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean7.23
std4.68
cv0.647
sampleLengths
016
115
212
34
45
53
63
712
813
93
103
119
1212
1311
1416
151
162
1716
1816
1911
2019
212
2216
233
2415
2512
2618
275
283
294
302
318
322
335
342
352
3615
379
385
394
409
417
425
433
447
451
465
477
487
493
32.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.26582278481012656
totalSentences79
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
95.41% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences61
matches
0"She kept her shoulders squared,"
1"She didn’t slow."
2"She turned left, her breath"
3"She exhaled, the tension in"
4"She pushed through."
5"His coat was too long,"
6"He didn’t move toward her."
7"He didn’t need to."
8"he said, his voice smooth"
9"She didn’t lower her gun."
10"He gestured behind her"
11"She knew what she’d find."
12"She exhaled, her breath fogging"
13"His voice was calm, almost"
14"He stepped closer, his coat"
15"She could shoot."
16"She could run."
17"She didn’t answer."
18"She didn’t move."
ratio0.311
25.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences61
matches
0"The rain hammered down in"
1"She kept her shoulders squared,"
2"The suspect’s scent—old leather, something"
3"A flicker of movement."
4"A shadow darting between lampposts."
5"Quinn’s pulse steadied."
6"She didn’t slow."
7"The alleyway ahead was narrow,"
8"The suspect vanished into the"
9"The Raven’s Nest."
10"She turned left, her breath"
11"The streets of Soho blurred"
12"A figure darted across the"
13"Quinn’s hand twitched toward her"
14"Quinn spun, gun raised, but"
15"She exhaled, the tension in"
16"The Raven’s Nest’s green neon"
17"The bar’s entrance was a"
18"The air inside smelled of"
19"She pushed through."
ratio0.869
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences21
technicalSentenceCount1
matches
0"The air inside smelled of stale beer and something older—something that didn’t belong in this world."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount2
matches
0"he said, his voice smooth as oil"
1"He stepped, his coat brushing against the wall"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
73.9219%